NNUE evaluators

The technique

A small neural network built so that when one move changes a few cells, only the affected part of the first layer is recomputed.

Approaches using this technique

4 approaches, featured pages first. Each card is one theory of how to choose a column and what happened when it was tried.

Blends a learned survival estimate into the reference board evaluator and tests it under sampled and exact chance handling.

Give every cell a learned description and predict the game's remaining lifetime. Good predictions still did not produce good choices.

Judge the board at the moment just before the next disc is dealt, so the value never has to be split seven ways.

Let a small learned board evaluator decide where a deeper search should spend its time, while keeping the exact search as a safety net.

Agent contextApproach directories in this group, by family

lifetime-objective

tree-search

value-policy-learning